Pandas Profiling Report

Dataset statistics

Number of variables	34
Number of observations	1200
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	318.9 KiB
Average record size in memory	272.1 B

Variable types

Numeric	15
Categorical	17
Boolean	2

Alerts

`Over18` has constant value "True"	Constant
`StandardHours` has constant value "80"	Constant
`YearsAtCompany` is highly correlated with `YearsInCurrentRole`	High correlation
`YearsInCurrentRole` is highly correlated with `YearsAtCompany`	High correlation
`PercentSalaryHike` is highly correlated with `PerformanceRating`	High correlation
`PerformanceRating` is highly correlated with `PercentSalaryHike`	High correlation
`YearsAtCompany` is highly correlated with `YearsInCurrentRole`	High correlation
`YearsInCurrentRole` is highly correlated with `YearsAtCompany`	High correlation
`BusinessTravel` is highly correlated with `Over18` and 1 other fields	High correlation
`Gender` is highly correlated with `Over18` and 1 other fields	High correlation
`Attrition` is highly correlated with `Over18` and 1 other fields	High correlation
`EducationField` is highly correlated with `Over18` and 1 other fields	High correlation
`Over18` is highly correlated with `BusinessTravel` and 17 other fields	High correlation
`MaritalStatus` is highly correlated with `Over18` and 1 other fields	High correlation
`StockOptionLevel` is highly correlated with `Over18` and 1 other fields	High correlation
`Department` is highly correlated with `Over18` and 2 other fields	High correlation
`StandardHours` is highly correlated with `BusinessTravel` and 17 other fields	High correlation
`EnvironmentSatisfaction` is highly correlated with `Over18` and 1 other fields	High correlation
`JobSatisfaction` is highly correlated with `Over18` and 1 other fields	High correlation
`JobRole` is highly correlated with `Over18` and 2 other fields	High correlation
`JobInvolvement` is highly correlated with `Over18` and 1 other fields	High correlation
`PerformanceRating` is highly correlated with `Over18` and 1 other fields	High correlation
`OverTime` is highly correlated with `Over18` and 1 other fields	High correlation
`Education` is highly correlated with `Over18` and 1 other fields	High correlation
`WorkLifeBalance` is highly correlated with `Over18` and 1 other fields	High correlation
`JobLevel` is highly correlated with `Over18` and 1 other fields	High correlation
`RelationshipSatisfaction` is highly correlated with `Over18` and 1 other fields	High correlation
`Department` is highly correlated with `EducationField` and 1 other fields	High correlation
`EducationField` is highly correlated with `Department`	High correlation
`JobLevel` is highly correlated with `JobRole` and 1 other fields	High correlation
`JobRole` is highly correlated with `Department` and 1 other fields	High correlation
`PercentSalaryHike` is highly correlated with `PerformanceRating`	High correlation
`PerformanceRating` is highly correlated with `PercentSalaryHike`	High correlation
`TotalWorkingYears` is highly correlated with `JobLevel`	High correlation
`YearsAtCompany` is highly correlated with `YearsInCurrentRole` and 2 other fields	High correlation
`YearsInCurrentRole` is highly correlated with `YearsAtCompany` and 2 other fields	High correlation
`YearsSinceLastPromotion` is highly correlated with `YearsAtCompany` and 2 other fields	High correlation
`YearsWithCurrManager` is highly correlated with `YearsAtCompany` and 2 other fields	High correlation
`id` has unique values	Unique
`DailyRate` has unique values	Unique
`DistanceFromHome` has unique values	Unique
`NumCompaniesWorked` has 167 (13.9%) zeros	Zeros
`TrainingTimesLastYear` has 53 (4.4%) zeros	Zeros
`YearsAtCompany` has 23 (1.9%) zeros	Zeros
`YearsInCurrentRole` has 208 (17.3%) zeros	Zeros
`YearsSinceLastPromotion` has 499 (41.6%) zeros	Zeros
`YearsWithCurrManager` has 239 (19.9%) zeros	Zeros

Reproduction

Analysis started	2022-07-31 02:09:26.064589
Analysis finished	2022-07-31 02:10:04.918820
Duration	38.85 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

UNIQUE

Distinct	1200
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1013.075833

Minimum	0
Maximum	1998
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	9.5 KiB

Quantile statistics

Minimum	0
5-th percentile	108.85
Q1	508.75
median	1018
Q3	1519.25
95-th percentile	1907.05
Maximum	1998
Range	1998
Interquartile range (IQR)	1010.5

Descriptive statistics

Standard deviation	575.7260362
Coefficient of variation (CV)	0.5682951042
Kurtosis	-1.202750413
Mean	1013.075833
Median Absolute Deviation (MAD)	506
Skewness	-0.02497263307
Sum	1215691
Variance	331460.4688
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	0.1%
1365	1	0.1%
1360	1	0.1%
1354	1	0.1%
1353	1	0.1%
1352	1	0.1%
1351	1	0.1%
1350	1	0.1%
1349	1	0.1%
1348	1	0.1%
Other values (1190)	1190	99.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	0.1%
3	1	0.1%
7	1	0.1%
10	1	0.1%
11	1	0.1%
12	1	0.1%
15	1	0.1%
20	1	0.1%
21	1	0.1%
23	1	0.1%

Value	Count	Frequency (%)
1998	1	0.1%
1997	1	0.1%
1996	1	0.1%
1994	1	0.1%
1988	1	0.1%
1987	1	0.1%
1986	1	0.1%
1984	1	0.1%
1980	1	0.1%
1976	1	0.1%

Age
Real number (ℝ_≥0)

Distinct	36
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32.70166667

Minimum	17
Maximum	56
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.5 KiB

Quantile statistics

Minimum	17
5-th percentile	18
Q1	26
median	34
Q3	37
95-th percentile	47
Maximum	56
Range	39
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	8.28219936
Coefficient of variation (CV)	0.2532653594
Kurtosis	-0.5190491203
Mean	32.70166667
Median Absolute Deviation (MAD)	7
Skewness	0.06648078236
Sum	39242
Variance	68.59482624
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
37	221	18.4%
26	159	13.2%
34	146	12.2%
25	125	10.4%
35	67	5.6%
27	59	4.9%
17	50	4.2%
46	48	4.0%
18	46	3.8%
45	39	3.2%
Other values (26)	240	20.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
17	50	4.2%
18	46	3.8%
19	6	0.5%
20	3	0.2%
22	2	0.2%
25	125	10.4%
26	159	13.2%
27	59	4.9%
28	20	1.7%
29	12	1.0%

Value	Count	Frequency (%)
56	1	0.1%
55	1	0.1%
53	3	0.2%
52	3	0.2%
51	2	0.2%
50	7	0.6%
49	7	0.6%
48	16	1.3%
47	28	2.3%
46	48	4.0%

BusinessTravel
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	9.5 KiB

Travel_Rarely	808
Travel_Frequently	263
Non-Travel	129

Length

Max length	17
Median length	13
Mean length	13.55416667
Min length	10

Characters and Unicode

Total characters	16265
Distinct characters	17
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Travel_Rarely
2nd row	Travel_Rarely
3rd row	Travel_Rarely
4th row	Travel_Rarely
5th row	Travel_Rarely

Common Values

Value	Count	Frequency (%)
Travel_Rarely	808	67.3%
Travel_Frequently	263	21.9%
Non-Travel	129	10.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
travel_rarely	808	67.3%
travel_frequently	263	21.9%
non-travel	129	10.8%

Most occurring characters

Value	Count	Frequency (%)
e	2534	15.6%
r	2271	14.0%
l	2271	14.0%
a	2008	12.3%
T	1200	7.4%
v	1200	7.4%
y	1071	6.6%
_	1071	6.6%
R	808	5.0%
n	392	2.4%
Other values (7)	1439	8.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	12665	77.9%
Uppercase Letter	2400	14.8%
Connector Punctuation	1071	6.6%
Dash Punctuation	129	0.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2534	20.0%
r	2271	17.9%
l	2271	17.9%
a	2008	15.9%
v	1200	9.5%
y	1071	8.5%
n	392	3.1%
q	263	2.1%
u	263	2.1%
t	263	2.1%

Uppercase Letter

Value	Count	Frequency (%)
T	1200	50.0%
R	808	33.7%
F	263	11.0%
N	129	5.4%

Connector Punctuation

Value	Count	Frequency (%)
_	1071	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15065	92.6%
Common	1200	7.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2534	16.8%
r	2271	15.1%
l	2271	15.1%
a	2008	13.3%
T	1200	8.0%
v	1200	8.0%
y	1071	7.1%
R	808	5.4%
n	392	2.6%
F	263	1.7%
Other values (5)	1047	6.9%

Common

Value	Count	Frequency (%)
_	1071	89.2%
-	129	10.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16265	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	2534	15.6%
r	2271	14.0%
l	2271	14.0%
a	2008	12.3%
T	1200	7.4%
v	1200	7.4%
y	1071	6.6%
_	1071	6.6%
R	808	5.0%
n	392	2.4%
Other values (7)	1439	8.8%

DailyRate
Real number (ℝ_≥0)

UNIQUE

Distinct	1200
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	750.7541568

Minimum	59.23158071
Maximum	1484.979305
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.5 KiB

Quantile statistics

Minimum	59.23158071
5-th percentile	83.84835369
Q1	403.9460427
median	736.8734628
Q3	1092.443495
95-th percentile	1365.123747
Maximum	1484.979305
Range	1425.747724
Interquartile range (IQR)	688.4974523

Descriptive statistics

Standard deviation	415.4209173
Coefficient of variation (CV)	0.5533381514
Kurtosis	-1.178988572
Mean	750.7541568
Median Absolute Deviation (MAD)	339.7413504
Skewness	-0.06742704441
Sum	900904.9881
Variance	172574.5385
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
450.9414761	1	0.1%
1233.337111	1	0.1%
664.2526387	1	0.1%
457.5017384	1	0.1%
1256.236434	1	0.1%
1015.368774	1	0.1%
65.94567025	1	0.1%
992.8258237	1	0.1%
360.6902588	1	0.1%
677.2819696	1	0.1%
Other values (1190)	1190	99.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
59.23158071	1	0.1%
59.51664581	1	0.1%
59.5956616	1	0.1%
60.15841398	1	0.1%
61.27188898	1	0.1%
61.66784652	1	0.1%
61.773276	1	0.1%
61.96507656	1	0.1%
62.1432704	1	0.1%
63.10039212	1	0.1%

Value	Count	Frequency (%)
1484.979305	1	0.1%
1474.733189	1	0.1%
1474.057242	1	0.1%
1469.318486	1	0.1%
1462.741451	1	0.1%
1460.281685	1	0.1%
1458.515327	1	0.1%
1456.724987	1	0.1%
1456.489188	1	0.1%
1445.356537	1	0.1%

Department
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	9.5 KiB

Research & Development	773
Sales	381
Human Resources	46

Length

Max length	22
Median length	22
Mean length	16.33416667
Min length	5

Characters and Unicode

Total characters	19601
Distinct characters	20
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Research & Development
2nd row	Research & Development
3rd row	Human Resources
4th row	Research & Development
5th row	Research & Development

Common Values

Value	Count	Frequency (%)
Research & Development	773	64.4%
Sales	381	31.8%
Human Resources	46	3.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
research	773	27.7%
	773	27.7%
development	773	27.7%
sales	381	13.6%
human	46	1.6%
resources	46	1.6%

Most occurring characters

Value	Count	Frequency (%)
e	4338	22.1%
	1592	8.1%
s	1246	6.4%
a	1200	6.1%
l	1154	5.9%
R	819	4.2%
r	819	4.2%
c	819	4.2%
n	819	4.2%
m	819	4.2%
Other values (10)	5976	30.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15217	77.6%
Uppercase Letter	2019	10.3%
Space Separator	1592	8.1%
Other Punctuation	773	3.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4338	28.5%
s	1246	8.2%
a	1200	7.9%
l	1154	7.6%
r	819	5.4%
c	819	5.4%
n	819	5.4%
m	819	5.4%
o	819	5.4%
p	773	5.1%
Other values (4)	2411	15.8%

Uppercase Letter

Value	Count	Frequency (%)
R	819	40.6%
D	773	38.3%
S	381	18.9%
H	46	2.3%

Space Separator

Value	Count	Frequency (%)
	1592	100.0%

Other Punctuation

Value	Count	Frequency (%)
&	773	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17236	87.9%
Common	2365	12.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4338	25.2%
s	1246	7.2%
a	1200	7.0%
l	1154	6.7%
R	819	4.8%
r	819	4.8%
c	819	4.8%
n	819	4.8%
m	819	4.8%
o	819	4.8%
Other values (8)	4384	25.4%

Common

Value	Count	Frequency (%)
	1592	67.3%
&	773	32.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19601	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	4338	22.1%
	1592	8.1%
s	1246	6.4%
a	1200	6.1%
l	1154	5.9%
R	819	4.2%
r	819	4.2%
c	819	4.2%
n	819	4.2%
m	819	4.2%
Other values (10)	5976	30.5%

DistanceFromHome
Real number (ℝ)

UNIQUE

Distinct	1200
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.21838691

Minimum	-0.023998944
Maximum	29.89020821
Zeros	0
Zeros (%)	0.0%
Negative	1
Negative (%)	0.1%
Memory size	9.5 KiB

Quantile statistics

Minimum	-0.023998944
5-th percentile	0.9204483909
Q1	2.688172871
median	9.345923648
Q3	15.23143817
95-th percentile	26.81904229
Maximum	29.89020821
Range	29.91420715
Interquartile range (IQR)	12.5432653

Descriptive statistics

Standard deviation	8.13414365
Coefficient of variation (CV)	0.796030109
Kurtosis	-0.4615941007
Mean	10.21838691
Median Absolute Deviation (MAD)	6.531308709
Skewness	0.7671342238
Sum	12262.0643
Variance	66.16429291
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.601074061	1	0.1%
2.590428227	1	0.1%
2.244686601	1	0.1%
6.63874627	1	0.1%
21.85243931	1	0.1%
0.607026169	1	0.1%
29.12177233	1	0.1%
3.370938412	1	0.1%
1.232529216	1	0.1%
1.843888398	1	0.1%
Other values (1190)	1190	99.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-0.023998944	1	0.1%
0.044009304	1	0.1%
0.096660897	1	0.1%
0.126019874	1	0.1%
0.12913472	1	0.1%
0.188990624	1	0.1%
0.257068377	1	0.1%
0.259836294	1	0.1%
0.305059682	1	0.1%
0.322637514	1	0.1%

Value	Count	Frequency (%)
29.89020821	1	0.1%
29.798857	1	0.1%
29.772229	1	0.1%
29.42570635	1	0.1%
29.39117084	1	0.1%
29.27060578	1	0.1%
29.24822627	1	0.1%
29.22363828	1	0.1%
29.14726065	1	0.1%
29.12177233	1	0.1%

Education
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	9.5 KiB

3	447
4	326
2	220
1	174
5	33

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1200
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	3
4th row	1
5th row	4

Common Values

Value	Count	Frequency (%)
3	447	37.2%
4	326	27.2%
2	220	18.3%
1	174	14.5%
5	33	2.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3	447	37.2%
4	326	27.2%
2	220	18.3%
1	174	14.5%
5	33	2.8%

Most occurring characters

Value	Count	Frequency (%)
3	447	37.2%
4	326	27.2%
2	220	18.3%
1	174	14.5%
5	33	2.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1200	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	447	37.2%
4	326	27.2%
2	220	18.3%
1	174	14.5%
5	33	2.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	1200	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	447	37.2%
4	326	27.2%
2	220	18.3%
1	174	14.5%
5	33	2.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1200	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	447	37.2%
4	326	27.2%
2	220	18.3%
1	174	14.5%
5	33	2.8%

EducationField
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	9.5 KiB

Life Sciences	501
Medical	334
Marketing	154
Technical Degree	98
Other	97

Length

Max length	16
Median length	15
Mean length	10.44166667
Min length	5

Characters and Unicode

Total characters	12530
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Medical
2nd row	Technical Degree
3rd row	Life Sciences
4th row	Medical
5th row	Medical

Common Values

Value	Count	Frequency (%)
Life Sciences	501	41.8%
Medical	334	27.8%
Marketing	154	12.8%
Technical Degree	98	8.2%
Other	97	8.1%
Human Resources	16	1.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
life	501	27.6%
sciences	501	27.6%
medical	334	18.4%
marketing	154	8.5%
technical	98	5.4%
degree	98	5.4%
other	97	5.3%
human	16	0.9%
resources	16	0.9%

Most occurring characters

Value	Count	Frequency (%)
e	2512	20.0%
i	1588	12.7%
c	1548	12.4%
n	769	6.1%
	615	4.9%
a	602	4.8%
s	533	4.3%
L	501	4.0%
f	501	4.0%
S	501	4.0%
Other values (16)	2860	22.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10100	80.6%
Uppercase Letter	1815	14.5%
Space Separator	615	4.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2512	24.9%
i	1588	15.7%
c	1548	15.3%
n	769	7.6%
a	602	6.0%
s	533	5.3%
f	501	5.0%
l	432	4.3%
r	365	3.6%
d	334	3.3%
Other values (7)	916	9.1%

Uppercase Letter

Value	Count	Frequency (%)
L	501	27.6%
S	501	27.6%
M	488	26.9%
T	98	5.4%
D	98	5.4%
O	97	5.3%
H	16	0.9%
R	16	0.9%

Space Separator

Value	Count	Frequency (%)
	615	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11915	95.1%
Common	615	4.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2512	21.1%
i	1588	13.3%
c	1548	13.0%
n	769	6.5%
a	602	5.1%
s	533	4.5%
L	501	4.2%
f	501	4.2%
S	501	4.2%
M	488	4.1%
Other values (15)	2372	19.9%

Common

Value	Count	Frequency (%)
	615	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12530	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	2512	20.0%
i	1588	12.7%
c	1548	12.4%
n	769	6.1%
	615	4.9%
a	602	4.8%
s	533	4.3%
L	501	4.0%
f	501	4.0%
S	501	4.0%
Other values (16)	2860	22.8%

EmployeeNumber
Real number (ℝ_≥0)

Distinct	165
Distinct (%)	13.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1077.855

Minimum	12
Maximum	2060
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.5 KiB

Quantile statistics

Minimum	12
5-th percentile	60.95
Q1	699
median	1059
Q3	1591
95-th percentile	1862
Maximum	2060
Range	2048
Interquartile range (IQR)	892

Descriptive statistics

Standard deviation	580.1854947
Coefficient of variation (CV)	0.5382778711
Kurtosis	-0.9783382593
Mean	1077.855
Median Absolute Deviation (MAD)	528
Skewness	-0.3038541317
Sum	1293426
Variance	336615.2083
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
975	106	8.8%
1587	73	6.1%
1719	66	5.5%
1138	62	5.2%
1591	58	4.8%
1862	46	3.8%
28	39	3.2%
699	28	2.3%
1291	26	2.2%
120	22	1.8%
Other values (155)	674	56.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
12	1	0.1%
15	5	0.4%
28	39	3.2%
35	2	0.2%
42	1	0.1%
46	1	0.1%
54	5	0.4%
55	1	0.1%
60	5	0.4%
61	6	0.5%

Value	Count	Frequency (%)
2060	5	0.4%
2048	7	0.6%
2027	7	0.6%
2022	3	0.2%
1999	2	0.2%
1996	3	0.2%
1995	6	0.5%
1968	1	0.1%
1948	1	0.1%
1929	2	0.2%

EnvironmentSatisfaction
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	9.5 KiB

4	368
3	326
1	275
2	231

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1200
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	2
3rd row	2
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
4	368	30.7%
3	326	27.2%
1	275	22.9%
2	231	19.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
4	368	30.7%
3	326	27.2%
1	275	22.9%
2	231	19.2%

Most occurring characters

Value	Count	Frequency (%)
4	368	30.7%
3	326	27.2%
1	275	22.9%
2	231	19.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1200	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	368	30.7%
3	326	27.2%
1	275	22.9%
2	231	19.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	1200	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	368	30.7%
3	326	27.2%
1	275	22.9%
2	231	19.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1200	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	368	30.7%
3	326	27.2%
1	275	22.9%
2	231	19.2%

Gender
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	9.5 KiB

Male	713
Female	487

Length

Max length	6
Median length	4
Mean length	4.811666667
Min length	4

Characters and Unicode

Total characters	5774
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Male
2nd row	Male
3rd row	Male
4th row	Female
5th row	Male

Common Values

Value	Count	Frequency (%)
Male	713	59.4%
Female	487	40.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
male	713	59.4%
female	487	40.6%

Most occurring characters

Value	Count	Frequency (%)
e	1687	29.2%
a	1200	20.8%
l	1200	20.8%
M	713	12.3%
F	487	8.4%
m	487	8.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4574	79.2%
Uppercase Letter	1200	20.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1687	36.9%
a	1200	26.2%
l	1200	26.2%
m	487	10.6%

Uppercase Letter

Value	Count	Frequency (%)
M	713	59.4%
F	487	40.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5774	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1687	29.2%
a	1200	20.8%
l	1200	20.8%
M	713	12.3%
F	487	8.4%
m	487	8.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5774	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1687	29.2%
a	1200	20.8%
l	1200	20.8%
M	713	12.3%
F	487	8.4%
m	487	8.4%

HourlyRate
Real number (ℝ_≥0)

Distinct	71
Distinct (%)	5.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	66.26166667

Minimum	30
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.5 KiB

Quantile statistics

Minimum	30
5-th percentile	34
Q1	48
median	67
Q3	84
95-th percentile	97
Maximum	100
Range	70
Interquartile range (IQR)	36

Descriptive statistics

Standard deviation	20.25780128
Coefficient of variation (CV)	0.3057242943
Kurtosis	-1.231558873
Mean	66.26166667
Median Absolute Deviation (MAD)	18
Skewness	-0.07053581684
Sum	79514
Variance	410.3785126
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
48	52	4.3%
45	49	4.1%
98	41	3.4%
85	34	2.8%
74	33	2.8%
79	33	2.8%
78	29	2.4%
61	27	2.2%
30	26	2.2%
56	25	2.1%
Other values (61)	851	70.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
30	26	2.2%
31	11	0.9%
32	17	1.4%
33	4	0.3%
34	7	0.6%
35	5	0.4%
36	8	0.7%
37	23	1.9%
38	7	0.6%
39	22	1.8%

Value	Count	Frequency (%)
100	10	0.8%
99	5	0.4%
98	41	3.4%
97	24	2.0%
96	7	0.6%
95	21	1.8%
94	22	1.8%
93	8	0.7%
92	21	1.8%
91	16	1.3%

JobInvolvement
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	9.5 KiB

3	709
2	339
4	101
1	51

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1200
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	3

Common Values

Value	Count	Frequency (%)
3	709	59.1%
2	339	28.2%
4	101	8.4%
1	51	4.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3	709	59.1%
2	339	28.2%
4	101	8.4%
1	51	4.2%

Most occurring characters

Value	Count	Frequency (%)
3	709	59.1%
2	339	28.2%
4	101	8.4%
1	51	4.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1200	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	709	59.1%
2	339	28.2%
4	101	8.4%
1	51	4.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	1200	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	709	59.1%
2	339	28.2%
4	101	8.4%
1	51	4.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1200	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	709	59.1%
2	339	28.2%
4	101	8.4%
1	51	4.2%

JobLevel
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	9.5 KiB

1	462
2	377
3	172
4	126
5	63

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1200
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
1	462	38.5%
2	377	31.4%
3	172	14.3%
4	126	10.5%
5	63	5.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	462	38.5%
2	377	31.4%
3	172	14.3%
4	126	10.5%
5	63	5.2%

Most occurring characters

Value	Count	Frequency (%)
1	462	38.5%
2	377	31.4%
3	172	14.3%
4	126	10.5%
5	63	5.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1200	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	462	38.5%
2	377	31.4%
3	172	14.3%
4	126	10.5%
5	63	5.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	1200	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	462	38.5%
2	377	31.4%
3	172	14.3%
4	126	10.5%
5	63	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1200	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	462	38.5%
2	377	31.4%
3	172	14.3%
4	126	10.5%
5	63	5.2%

JobRole
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	9.5 KiB

Research Scientist	252
Sales Executive	249
Laboratory Technician	179
Manufacturing Director	129
Sales Representative	101
Other values (4)	290

Length

Max length	25
Median length	21
Mean length	18.115
Min length	7

Characters and Unicode

Total characters	21738
Distinct characters	29
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Laboratory Technician
2nd row	Research Scientist
3rd row	Human Resources
4th row	Laboratory Technician
5th row	Manufacturing Director

Common Values

Value	Count	Frequency (%)
Research Scientist	252	21.0%
Sales Executive	249	20.8%
Laboratory Technician	179	14.9%
Manufacturing Director	129	10.8%
Sales Representative	101	8.4%
Healthcare Representative	92	7.7%
Research Director	90	7.5%
Manager	75	6.2%
Human Resources	33	2.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
sales	350	15.1%
research	342	14.7%
scientist	252	10.8%
executive	249	10.7%
director	219	9.4%
representative	193	8.3%
laboratory	179	7.7%
technician	179	7.7%
manufacturing	129	5.5%
healthcare	92	4.0%
Other values (3)	141	6.1%

Most occurring characters

Value	Count	Frequency (%)
e	3279	15.1%
a	2047	9.4%
t	1758	8.1%
c	1674	7.7%
r	1660	7.6%
i	1652	7.6%
s	1203	5.5%
n	1169	5.4%
	1125	5.2%
h	613	2.8%
Other values (19)	5558	25.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	18288	84.1%
Uppercase Letter	2325	10.7%
Space Separator	1125	5.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	3279	17.9%
a	2047	11.2%
t	1758	9.6%
c	1674	9.2%
r	1660	9.1%
i	1652	9.0%
s	1203	6.6%
n	1169	6.4%
h	613	3.4%
o	610	3.3%
Other values (10)	2623	14.3%

Uppercase Letter

Value	Count	Frequency (%)
S	602	25.9%
R	568	24.4%
E	249	10.7%
D	219	9.4%
M	204	8.8%
L	179	7.7%
T	179	7.7%
H	125	5.4%

Space Separator

Value	Count	Frequency (%)
	1125	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	20613	94.8%
Common	1125	5.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	3279	15.9%
a	2047	9.9%
t	1758	8.5%
c	1674	8.1%
r	1660	8.1%
i	1652	8.0%
s	1203	5.8%
n	1169	5.7%
h	613	3.0%
o	610	3.0%
Other values (18)	4948	24.0%

Common

Value	Count	Frequency (%)
	1125	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21738	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	3279	15.1%
a	2047	9.4%
t	1758	8.1%
c	1674	7.7%
r	1660	7.6%
i	1652	7.6%
s	1203	5.5%
n	1169	5.4%
	1125	5.2%
h	613	2.8%
Other values (19)	5558	25.6%

JobSatisfaction
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	9.5 KiB

3	371
4	361
2	236
1	232

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1200
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	2
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	371	30.9%
4	361	30.1%
2	236	19.7%
1	232	19.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3	371	30.9%
4	361	30.1%
2	236	19.7%
1	232	19.3%

Most occurring characters

Value	Count	Frequency (%)
3	371	30.9%
4	361	30.1%
2	236	19.7%
1	232	19.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1200	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	371	30.9%
4	361	30.1%
2	236	19.7%
1	232	19.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	1200	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	371	30.9%
4	361	30.1%
2	236	19.7%
1	232	19.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1200	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	371	30.9%
4	361	30.1%
2	236	19.7%
1	232	19.3%

MaritalStatus
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	9.5 KiB

Married	578
Single	359
Divorced	263

Length

Max length	8
Median length	7
Mean length	6.92
Min length	6

Characters and Unicode

Total characters	8304
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Single
2nd row	Divorced
3rd row	Married
4th row	Divorced
5th row	Divorced

Common Values

Value	Count	Frequency (%)
Married	578	48.2%
Single	359	29.9%
Divorced	263	21.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
married	578	48.2%
single	359	29.9%
divorced	263	21.9%

Most occurring characters

Value	Count	Frequency (%)
r	1419	17.1%
i	1200	14.5%
e	1200	14.5%
d	841	10.1%
M	578	7.0%
a	578	7.0%
S	359	4.3%
n	359	4.3%
g	359	4.3%
l	359	4.3%
Other values (4)	1052	12.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7104	85.5%
Uppercase Letter	1200	14.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	1419	20.0%
i	1200	16.9%
e	1200	16.9%
d	841	11.8%
a	578	8.1%
n	359	5.1%
g	359	5.1%
l	359	5.1%
v	263	3.7%
o	263	3.7%

Uppercase Letter

Value	Count	Frequency (%)
M	578	48.2%
S	359	29.9%
D	263	21.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8304	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	1419	17.1%
i	1200	14.5%
e	1200	14.5%
d	841	10.1%
M	578	7.0%
a	578	7.0%
S	359	4.3%
n	359	4.3%
g	359	4.3%
l	359	4.3%
Other values (4)	1052	12.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8304	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	1419	17.1%
i	1200	14.5%
e	1200	14.5%
d	841	10.1%
M	578	7.0%
a	578	7.0%
S	359	4.3%
n	359	4.3%
g	359	4.3%
l	359	4.3%
Other values (4)	1052	12.7%

MonthlyIncome
Real number (ℝ_≥0)

Distinct	188
Distinct (%)	15.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7052.521667

Minimum	1052
Maximum	19833
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.5 KiB

Quantile statistics

Minimum	1052
5-th percentile	2088
Q1	3537
median	5071
Q3	8715.25
95-th percentile	17159
Maximum	19833
Range	18781
Interquartile range (IQR)	5178.25

Descriptive statistics

Standard deviation	5033.677026
Coefficient of variation (CV)	0.7137414479
Kurtosis	0.08854611116
Mean	7052.521667
Median Absolute Deviation (MAD)	2121
Skewness	1.167268396
Sum	8463026
Variance	25337904.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4789	64	5.3%
17159	43	3.6%
4936	36	3.0%
7457	34	2.8%
4189	33	2.8%
5228	29	2.4%
2011	29	2.4%
5071	26	2.2%
19033	26	2.2%
13247	25	2.1%
Other values (178)	855	71.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1052	1	0.1%
1118	4	0.3%
1261	1	0.1%
1359	1	0.1%
1563	6	0.5%
1951	1	0.1%
2007	1	0.1%
2008	2	0.2%
2011	29	2.4%
2024	4	0.3%

Value	Count	Frequency (%)
19833	1	0.1%
19502	14	1.2%
19033	26	2.2%
18824	5	0.4%
18711	4	0.3%
17650	3	0.2%
17444	3	0.2%
17169	2	0.2%
17159	43	3.6%
17123	6	0.5%

NumCompaniesWorked
Real number (ℝ_≥0)

ZEROS

Distinct	10
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.614166667

Minimum	0
Maximum	9
Zeros	167
Zeros (%)	13.9%
Negative	0
Negative (%)	0.0%
Memory size	9.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	1
Q3	4
95-th percentile	8
Maximum	9
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.460422193
Coefficient of variation (CV)	0.9411879605
Kurtosis	-0.05975002378
Mean	2.614166667
Median Absolute Deviation (MAD)	1
Skewness	1.03469726
Sum	3137
Variance	6.05367737
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	438	36.5%
0	167	13.9%
3	145	12.1%
2	117	9.8%
4	87	7.2%
6	67	5.6%
8	63	5.2%
7	58	4.8%
5	38	3.2%
9	20	1.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	167	13.9%
1	438	36.5%
2	117	9.8%
3	145	12.1%
4	87	7.2%
5	38	3.2%
6	67	5.6%
7	58	4.8%
8	63	5.2%
9	20	1.7%

Value	Count	Frequency (%)
9	20	1.7%
8	63	5.2%
7	58	4.8%
6	67	5.6%
5	38	3.2%
4	87	7.2%
3	145	12.1%
2	117	9.8%
1	438	36.5%
0	167	13.9%

Over18
Boolean

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 KiB

True	1200

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
True	1200	100.0%

OverTime
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	1.3 KiB

False	882
True	318

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	882	73.5%
True	318	26.5%

PercentSalaryHike
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	15
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.115

Minimum	11
Maximum	25
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.5 KiB

Quantile statistics

Minimum	11
5-th percentile	11
Q1	12
median	14
Q3	18
95-th percentile	22
Maximum	25
Range	14
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.632414766
Coefficient of variation (CV)	0.2403185422
Kurtosis	-0.4465328334
Mean	15.115
Median Absolute Deviation (MAD)	2
Skewness	0.7896222104
Sum	18138
Variance	13.19443703
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
13	185	15.4%
12	182	15.2%
11	173	14.4%
14	161	13.4%
19	83	6.9%
18	76	6.3%
16	67	5.6%
20	58	4.8%
17	54	4.5%
22	51	4.2%
Other values (5)	110	9.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
11	173	14.4%
12	182	15.2%
13	185	15.4%
14	161	13.4%
15	44	3.7%
16	67	5.6%
17	54	4.5%
18	76	6.3%
19	83	6.9%
20	58	4.8%

Value	Count	Frequency (%)
25	8	0.7%
24	13	1.1%
23	29	2.4%
22	51	4.2%
21	16	1.3%
20	58	4.8%
19	83	6.9%
18	76	6.3%
17	54	4.5%
16	67	5.6%

PerformanceRating
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	9.5 KiB

3	1068
4	132

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1200
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	3
4th row	4
5th row	3

Common Values

Value	Count	Frequency (%)
3	1068	89.0%
4	132	11.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3	1068	89.0%
4	132	11.0%

Most occurring characters

Value	Count	Frequency (%)
3	1068	89.0%
4	132	11.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1200	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	1068	89.0%
4	132	11.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1200	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	1068	89.0%
4	132	11.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1200	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	1068	89.0%
4	132	11.0%

RelationshipSatisfaction
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	9.5 KiB

3	380
4	300
2	280
1	240

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1200
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	2
4th row	4
5th row	2

Common Values

Value	Count	Frequency (%)
3	380	31.7%
4	300	25.0%
2	280	23.3%
1	240	20.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3	380	31.7%
4	300	25.0%
2	280	23.3%
1	240	20.0%

Most occurring characters

Value	Count	Frequency (%)
3	380	31.7%
4	300	25.0%
2	280	23.3%
1	240	20.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1200	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	380	31.7%
4	300	25.0%
2	280	23.3%
1	240	20.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1200	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	380	31.7%
4	300	25.0%
2	280	23.3%
1	240	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1200	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	380	31.7%
4	300	25.0%
2	280	23.3%
1	240	20.0%

StandardHours
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.5 KiB

80	1200

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	2400
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	80
2nd row	80
3rd row	80
4th row	80
5th row	80

Common Values

Value	Count	Frequency (%)
80	1200	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
80	1200	100.0%

Most occurring characters

Value	Count	Frequency (%)
8	1200	50.0%
0	1200	50.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2400	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
8	1200	50.0%
0	1200	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2400	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
8	1200	50.0%
0	1200	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2400	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
8	1200	50.0%
0	1200	50.0%

StockOptionLevel
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	9.5 KiB

0	480
1	476
2	172
3	72

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1200
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	480	40.0%
1	476	39.7%
2	172	14.3%
3	72	6.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	480	40.0%
1	476	39.7%
2	172	14.3%
3	72	6.0%

Most occurring characters

Value	Count	Frequency (%)
0	480	40.0%
1	476	39.7%
2	172	14.3%
3	72	6.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1200	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	480	40.0%
1	476	39.7%
2	172	14.3%
3	72	6.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1200	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	480	40.0%
1	476	39.7%
2	172	14.3%
3	72	6.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1200	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	480	40.0%
1	476	39.7%
2	172	14.3%
3	72	6.0%

TotalWorkingYears
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	36
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.63166667

Minimum	0
Maximum	36
Zeros	7
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	9.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	5
median	9
Q3	15
95-th percentile	26
Maximum	36
Range	36
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	7.721334928
Coefficient of variation (CV)	0.7262581841
Kurtosis	0.5515335154
Mean	10.63166667
Median Absolute Deviation (MAD)	4
Skewness	1.022273194
Sum	12758
Variance	59.61901307
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
10	189	15.8%
6	120	10.0%
1	97	8.1%
9	67	5.6%
4	64	5.3%
5	62	5.2%
16	54	4.5%
8	53	4.4%
2	50	4.2%
7	43	3.6%
Other values (26)	401	33.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7	0.6%
1	97	8.1%
2	50	4.2%
3	39	3.2%
4	64	5.3%
5	62	5.2%
6	120	10.0%
7	43	3.6%
8	53	4.4%
9	67	5.6%

Value	Count	Frequency (%)
36	2	0.2%
34	1	0.1%
33	11	0.9%
32	9	0.8%
31	20	1.7%
30	1	0.1%
29	5	0.4%
28	2	0.2%
27	4	0.3%
26	14	1.2%

TrainingTimesLastYear
Real number (ℝ_≥0)

ZEROS

Distinct	7
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.755

Minimum	0
Maximum	6
Zeros	53
Zeros (%)	4.4%
Negative	0
Negative (%)	0.0%
Memory size	9.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	3
Q3	3
95-th percentile	5
Maximum	6
Range	6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.256167437
Coefficient of variation (CV)	0.4559591424
Kurtosis	0.5001608644
Mean	2.755
Median Absolute Deviation (MAD)	1
Skewness	0.3962815218
Sum	3306
Variance	1.577956631
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
2	435	36.2%
3	411	34.2%
4	109	9.1%
5	100	8.3%
1	57	4.8%
0	53	4.4%
6	35	2.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	53	4.4%
1	57	4.8%
2	435	36.2%
3	411	34.2%
4	109	9.1%
5	100	8.3%
6	35	2.9%

Value	Count	Frequency (%)
6	35	2.9%
5	100	8.3%
4	109	9.1%
3	411	34.2%
2	435	36.2%
1	57	4.8%
0	53	4.4%

WorkLifeBalance
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	9.5 KiB

3	707
2	323
4	101
1	69

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1200
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	3
4th row	1
5th row	3

Common Values

Value	Count	Frequency (%)
3	707	58.9%
2	323	26.9%
4	101	8.4%
1	69	5.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3	707	58.9%
2	323	26.9%
4	101	8.4%
1	69	5.8%

Most occurring characters

Value	Count	Frequency (%)
3	707	58.9%
2	323	26.9%
4	101	8.4%
1	69	5.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1200	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	707	58.9%
2	323	26.9%
4	101	8.4%
1	69	5.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	1200	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	707	58.9%
2	323	26.9%
4	101	8.4%
1	69	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1200	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	707	58.9%
2	323	26.9%
4	101	8.4%
1	69	5.8%

YearsAtCompany
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	27
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.351666667

Minimum	0
Maximum	32
Zeros	23
Zeros (%)	1.9%
Negative	0
Negative (%)	0.0%
Memory size	9.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	5
Q3	9
95-th percentile	18
Maximum	32
Range	32
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	5.120531915
Coefficient of variation (CV)	0.8061713852
Kurtosis	2.459739693
Mean	6.351666667
Median Absolute Deviation (MAD)	3
Skewness	1.409076389
Sum	7622
Variance	26.21984709
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
1	164	13.7%
5	164	13.7%
2	126	10.5%
10	118	9.8%
3	110	9.2%
6	79	6.6%
4	77	6.4%
9	64	5.3%
7	53	4.4%
8	50	4.2%
Other values (17)	195	16.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	23	1.9%
1	164	13.7%
2	126	10.5%
3	110	9.2%
4	77	6.4%
5	164	13.7%
6	79	6.6%
7	53	4.4%
8	50	4.2%
9	64	5.3%

Value	Count	Frequency (%)
32	1	0.1%
31	2	0.2%
26	4	0.3%
25	3	0.2%
22	2	0.2%
21	12	1.0%
20	22	1.8%
19	8	0.7%
18	7	0.6%
17	5	0.4%

YearsInCurrentRole
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	18
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.249166667

Minimum	0
Maximum	17
Zeros	208
Zeros (%)	17.3%
Negative	0
Negative (%)	0.0%
Memory size	9.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	3
Q3	7
95-th percentile	11
Maximum	17
Range	17
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.688507405
Coefficient of variation (CV)	0.8680543021
Kurtosis	-0.2906384023
Mean	4.249166667
Median Absolute Deviation (MAD)	3
Skewness	0.7637755119
Sum	5099
Variance	13.60508688
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
2	329	27.4%
0	208	17.3%
7	135	11.2%
3	91	7.6%
9	77	6.4%
4	77	6.4%
8	74	6.2%
10	50	4.2%
1	46	3.8%
6	28	2.3%
Other values (8)	85	7.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	208	17.3%
1	46	3.8%
2	329	27.4%
3	91	7.6%
4	77	6.4%
5	21	1.8%
6	28	2.3%
7	135	11.2%
8	74	6.2%
9	77	6.4%

Value	Count	Frequency (%)
17	1	0.1%
16	4	0.3%
15	6	0.5%
14	3	0.2%
13	20	1.7%
12	8	0.7%
11	22	1.8%
10	50	4.2%
9	77	6.4%
8	74	6.2%

YearsSinceLastPromotion
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	16
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.163333333

Minimum	0
Maximum	15
Zeros	499
Zeros (%)	41.6%
Negative	0
Negative (%)	0.0%
Memory size	9.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	11
Maximum	15
Range	15
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	3.312219481
Coefficient of variation (CV)	1.531072179
Kurtosis	3.06031401
Mean	2.163333333
Median Absolute Deviation (MAD)	1
Skewness	1.922999513
Sum	2596
Variance	10.97079789
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
0	499	41.6%
1	305	25.4%
2	121	10.1%
7	54	4.5%
5	45	3.8%
8	36	3.0%
11	34	2.8%
3	26	2.2%
4	21	1.8%
6	15	1.2%
Other values (6)	44	3.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	499	41.6%
1	305	25.4%
2	121	10.1%
3	26	2.2%
4	21	1.8%
5	45	3.8%
6	15	1.2%
7	54	4.5%
8	36	3.0%
9	11	0.9%

Value	Count	Frequency (%)
15	12	1.0%
14	3	0.2%
13	7	0.6%
12	5	0.4%
11	34	2.8%
10	6	0.5%
9	11	0.9%
8	36	3.0%
7	54	4.5%
6	15	1.2%

YearsWithCurrManager
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	16
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.78

Minimum	0
Maximum	17
Zeros	239
Zeros (%)	19.9%
Negative	0
Negative (%)	0.0%
Memory size	9.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	3
Q3	7
95-th percentile	9
Maximum	17
Range	17
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.314224908
Coefficient of variation (CV)	0.8767790761
Kurtosis	-0.2729006989
Mean	3.78
Median Absolute Deviation (MAD)	3
Skewness	0.7541176331
Sum	4536
Variance	10.98408674
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
2	306	25.5%
0	239	19.9%
7	154	12.8%
3	124	10.3%
8	95	7.9%
4	89	7.4%
9	71	5.9%
1	52	4.3%
11	16	1.3%
5	14	1.2%
Other values (6)	40	3.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	239	19.9%
1	52	4.3%
2	306	25.5%
3	124	10.3%
4	89	7.4%
5	14	1.2%
6	11	0.9%
7	154	12.8%
8	95	7.9%
9	71	5.9%

Value	Count	Frequency (%)
17	2	0.2%
14	1	0.1%
13	11	0.9%
12	7	0.6%
11	16	1.3%
10	8	0.7%
9	71	5.9%
8	95	7.9%
7	154	12.8%
6	11	0.9%

Attrition
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	9.5 KiB

0	987
1	213

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1200
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	987	82.2%
1	213	17.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	987	82.2%
1	213	17.8%

Most occurring characters

Value	Count	Frequency (%)
0	987	82.2%
1	213	17.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1200	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	987	82.2%
1	213	17.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	1200	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	987	82.2%
1	213	17.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1200	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	987	82.2%
1	213	17.8%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	id	Age	BusinessTravel	DailyRate	Department	DistanceFromHome	Education	EducationField	EmployeeNumber	EnvironmentSatisfaction	Gender	HourlyRate	JobInvolvement	JobLevel	JobRole	JobSatisfaction	MaritalStatus	MonthlyIncome	NumCompaniesWorked	Over18	OverTime	PercentSalaryHike	PerformanceRating	RelationshipSatisfaction	StandardHours	StockOptionLevel	TotalWorkingYears	TrainingTimesLastYear	WorkLifeBalance	YearsAtCompany	YearsInCurrentRole	YearsSinceLastPromotion	YearsWithCurrManager	Attrition
0	0	26	Travel_Rarely	450.941476	Research & Development	7.601074	3	Medical	1291	4	Male	43	2	1	Laboratory Technician	2	Single	16307	1	Y	No	13	3	3	80	0	1	3	2	11	8	7	0	0
1	3	47	Travel_Rarely	730.235896	Research & Development	26.739489	3	Technical Degree	1587	2	Male	98	2	1	Research Scientist	1	Divorced	9526	8	Y	Yes	11	3	3	80	1	20	1	1	5	9	4	4	0
2	7	26	Travel_Rarely	1082.560066	Human Resources	7.374739	3	Life Sciences	1591	2	Male	84	2	1	Human Resources	2	Married	10596	8	Y	No	18	3	2	80	1	4	3	3	3	2	0	2	0
3	10	46	Travel_Rarely	706.247579	Research & Development	14.791373	1	Medical	1572	1	Female	79	2	1	Laboratory Technician	3	Divorced	5762	0	Y	Yes	20	4	4	80	1	6	0	1	5	4	7	7	1
4	11	25	Travel_Rarely	500.610860	Research & Development	2.146966	4	Medical	981	2	Male	98	3	2	Manufacturing Director	3	Divorced	17068	6	Y	Yes	14	3	2	80	1	8	3	3	1	0	0	0	0
5	12	36	Non-Travel	1025.521404	Human Resources	1.689570	3	Life Sciences	1027	1	Male	48	3	5	Research Scientist	2	Divorced	5228	2	Y	No	16	3	3	80	1	2	2	3	3	2	2	2	0
6	15	25	Travel_Rarely	810.789599	Research & Development	8.455852	1	Life Sciences	1420	4	Female	76	3	1	Research Scientist	4	Married	6434	1	Y	Yes	11	3	4	80	1	10	2	3	5	3	0	8	0
7	20	37	Travel_Frequently	672.328336	Research & Development	28.593554	5	Medical	635	4	Male	34	3	2	Sales Executive	3	Married	4936	1	Y	No	20	4	2	80	2	17	3	4	3	2	0	3	0
8	21	37	Travel_Rarely	350.271536	Sales	25.328335	3	Technical Degree	1798	2	Female	57	1	2	Sales Executive	2	Single	2011	8	Y	Yes	22	4	3	80	0	6	3	3	3	2	2	0	1
9	23	17	Travel_Rarely	517.111386	Sales	6.342931	2	Marketing	28	3	Male	85	2	1	Sales Representative	3	Single	6434	1	Y	Yes	24	3	1	80	0	4	2	3	2	2	0	2	1

Last rows

	id	Age	BusinessTravel	DailyRate	Department	DistanceFromHome	Education	EducationField	EmployeeNumber	EnvironmentSatisfaction	Gender	HourlyRate	JobInvolvement	JobLevel	JobRole	JobSatisfaction	MaritalStatus	MonthlyIncome	NumCompaniesWorked	Over18	OverTime	PercentSalaryHike	PerformanceRating	RelationshipSatisfaction	StandardHours	StockOptionLevel	TotalWorkingYears	TrainingTimesLastYear	WorkLifeBalance	YearsAtCompany	YearsInCurrentRole	YearsSinceLastPromotion	YearsWithCurrManager	Attrition
1190	1976	46	Travel_Rarely	390.878064	Sales	2.515996	5	Technical Degree	120	2	Male	64	3	2	Sales Executive	2	Married	5677	1	Y	No	22	3	2	80	0	11	3	3	9	8	0	3	0
1191	1980	18	Travel_Rarely	867.979366	Sales	7.486453	4	Medical	1669	1	Male	48	3	1	Sales Representative	3	Married	5561	4	Y	Yes	19	3	1	80	1	4	2	2	1	2	0	0	1
1192	1984	18	Travel_Rarely	763.515135	Sales	6.228864	2	Medical	1138	1	Male	45	2	1	Sales Representative	1	Divorced	2376	1	Y	No	13	3	4	80	0	1	2	2	5	2	1	2	1
1193	1986	34	Travel_Rarely	1025.887963	Sales	2.075520	4	Marketing	207	3	Female	30	3	2	Sales Executive	1	Divorced	6781	0	Y	No	19	3	3	80	0	10	2	3	6	7	1	7	0
1194	1987	37	Non-Travel	416.576646	Research & Development	1.660932	3	Medical	1071	3	Male	79	3	2	Research Director	3	Single	4789	1	Y	No	17	3	2	80	0	5	3	3	5	3	1	3	0
1195	1988	49	Travel_Rarely	969.251891	Research & Development	13.243579	2	Medical	1587	4	Male	67	3	5	Research Director	4	Married	5098	8	Y	No	18	3	2	80	0	33	3	2	3	2	1	2	0
1196	1994	37	Travel_Frequently	437.940367	Research & Development	2.339438	1	Other	137	4	Male	82	3	2	Manufacturing Director	4	Married	6434	1	Y	Yes	11	3	4	80	0	6	5	2	9	2	0	8	0
1197	1996	40	Non-Travel	978.883360	Human Resources	10.214979	3	Life Sciences	1587	3	Male	40	2	3	Healthcare Representative	3	Divorced	3339	1	Y	No	12	3	2	80	1	19	2	3	14	9	9	9	0
1198	1997	37	Travel_Frequently	170.494984	Sales	2.639879	2	Marketing	120	1	Male	93	4	2	Sales Executive	4	Divorced	2011	0	Y	No	16	3	1	80	2	6	5	3	3	2	0	3	0
1199	1998	26	Travel_Rarely	72.733977	Research & Development	28.016088	2	Life Sciences	215	1	Female	97	2	2	Healthcare Representative	2	Divorced	4789	2	Y	No	12	3	1	80	1	7	2	2	2	2	2	2	1

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Connector Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length